example_scrnaseq        Example of scRNA-seq data
get_num_cell_per_spot   Estimate a relative number of cells per spot
                        for spatial transcriptomics data
remove_mito_ribo        Remove mitochondrial and ribosomal genes, and
                        other highly correlated genes
run_CCI                 Generate cell cell communication score
run_L_function          Generate L stats
run_Morans_I            Generate Moran's I
run_association_study_report
                        Create an association study report in HTML
                        format
run_celltype_interaction
                        Generate cell type interaction
run_gene_cor            Generate overall aggregated gene correlation
run_gene_cor_celltype   Generate cell type specific gene expression
                        correlation
run_gene_mean           Generate overall aggregated mean expression
run_gene_mean_celltype
                        Generate cell type specific gene mean
                        expression
run_gene_prop           Generate overall aggregated gene proportion
                        expression
run_gene_prop_celltype
                        Generate cell type specific gene proportion
                        expression
run_nn_correlation      Generate nearest neighbour correlation
run_pathway_gsva        Generate pathway score using gene set
                        enrichement analysis
run_pathway_mean        Generate pathway score using expression level
run_pathway_prop        Generate pathway score using proportion of
                        expression
run_proportion_logit    Generate cell type proportions, with logit
                        transformation
run_proportion_ratio    Generate cell type proportion ratio
run_proportion_raw      Generate cell type proportion raw
scFeatures              Wrapper function to run all feature types in
                        scFeatures
scfeatures_result       Example of scFeatures() output
